Browsing by Author "Bader, Farah"

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    Food logistics 4.0: opportunities and challenges
    (MDPI, 2020-12-30) Jagtap, Sandeep; Bader, Farah; Garcia-Garcia, Guillermo; Trollman, Hana; Fadiji, Tobi; Salonitis, Konstantinos
    Food Logistics 4.0 is a term derived from Industry 4.0 focusing on all the aspects of food logistics management based on cyber-physical systems. It states that real-time information and the interconnectivity of things, supplemented with novel technologies will revolutionise and improve the way food logistics is carried out. It has tremendous potential in terms of bringing transparency, swift delivery of food at reduced cost, flexibility, and capability to deliver the right quality product at the right place and at the right time. This paper discusses the vital technologies within Food Logistics 4.0 and the opportunities and challenges in this regard. It focuses primarily on food logistics, including resource planning, warehouse management, transportation management, predictive maintenance, and data security. Internet of Things, Blockchain, Robotics and Automation and artificial intelligence are some of the technologies discussed.
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    Food processing 4.0: Current and future developments spurred by the fourth industrial revolution
    (Elsevier, 2022-11-10) Hassoun, Abdo; Jagtap, Sandeep; Trollman, Hana; Garcia-Garcia, Guillermo; Abdullah, Nour Alhaj; Goksen, Gulden; Bader, Farah; Ozogul, Fatih; Barba, Francisco, J.; Cropotova, Janna; Munekata, Paulo E. S.; Lorenzo, José M.
    “Food processing 4.0” concept denotes processing food in the current digital era by harnessing fourth industrial revolution (called Industry 4.0) technologies to improve quality and safety of processed food products, reduce production costs and time, save energy and resources, as well as diminish food loss and waste. Industry 4.0 technologies have been gaining great attention in recent years, revolutionizing, and transforming many manufacturing industries, including the food processing sector. The aim of this narrative review is to provide an updated overview of recent developments of Industry 4.0 technologies in digital transformation and process automation of the food processing industry. Our literature review shows the key role of robotics, smart sensors, Artificial Intelligence, the Internet of Things, and Big Data as the main enablers of the Food Processing 4.0. advantages in terms of quality control (sorting during processing with robotics and Artificial Intelligence, for instance), safety (connecting sensors and devices with Internet of Things), and production efficiency (forecasting demand with Big Data). However, detailed studies are still necessary to tackle significant challenges and provide deep insights into each of Food Processing 4.0 enablers such as the development of specific effectors for robotics; miniaturization and portability for sensors; standardization of systems and improve data sharing for Big Data; and reduce initial and maintenance costs of these technologies.
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    A review of robotics and autonomous systems in the food industry: from the supply chains perspective
    (Elsevier, 2020-10-24) Duong, Linh N. K.; Al-Fadhli, Mohammed; Jagtap, Sandeep; Bader, Farah; Martindale, Wayne; Swainson, Mark; Paoli, Andrea
    Background. An increasing global population means resource utilisation and food security remain the critical global challenges. Robotics and autonomous systems (RAS) have been applied to improve productivity, and their role in enhancing supply chain operations is explored here. Scope and approach. Researchers have studied ways to adopt and integrate RAS into the food industry. However, most of the current literature focuses on the technological impact of RAS. In contrast, this paper discusses the adoption of RAS in the food industry from the supply chain perspective with regard to the supply chain operations. Key findings and conclusions. The study has selected 54 papers using a nine-step systematic review process. This research analysed the use of RAS across five major themes of the food supply chain, including food quality, food safety, food waste, supply chain efficiency, and supply chain analysis. The role of RAS the data availability, cybersecurity, skill capability, and financial costs are discussed in the context of adopting RAS in food supply chains. Future research directions are proposed with the aim of enhancing the application of RAS in food supply chain operations.